Jordan vs Yemen

Jordan vs Yemen: Tropical nights

Tropical nights in 2014: 74.7 nights in Jordan and 175.8 nights in Yemen, in the CMIP6 climate models’ median run. In 2014 the value was higher in Yemen, by 101.2 nights, or 2.35 times that in Jordan.

nights a year · CMIP6

Jordan vs Yemen: Tropical nightsTropical nights in 2014: 74.7 nights in Jordan and 175.8 nights in Yemen, in the CMIP6 climate models’ median run. In 2014 the value was higher in Yemen, by 101.2 nights, or 2.35 times that in Jordan.
JordanYemenCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Yemen has been higher in every year both have figures for since 1950.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts Jordan at 131.7 nights and Yemen at 225.7 nights in 2100.

Every year

nights a year · CMIP6

YearJordanYemen
201474.7175.8
201372.2176.9
201271.9178.4
201171.4178.3
201071.4174.9
200966.9173.4
200869.4174
200764.6173.9
200667.7173.6
200566.2172.4
200467.4174.3
200368.2173.5
200263171.8
200168.3172.7
200063.8167.9
199962.2168.6
199861.8168.7
199759.2168.8
199656.6166
199554.1164.3
199454.6161.6
199345.2161.2
199248.3157.2
199152.3166.5
199057.7168.3
198953.4164.3
198850.5163.7
198749.5160.7
198652162.3
198547.1158.2
198444.2159.8
198341.5155.4
198247.4161.5
198148.3161.7
198049.2158.5
197941.8160.1
197845.1158.9
197746.7161.2
197645.6157.5
197543156.9
197445.1157.8
197344.6158.1
197244.8157.5
197147.2156.7
197044.3156.9
196946.3157.5
196842.6154.5
196741.5152.1
196643155.1
196536.8153.5
196437.7154
196343154.7
196245155.9
196145.4158.7
196046.3160.1
195946.3156.1
195847.2158.5
195748.7158.1
195648.4156.2
195545.5157.4
195442.7156.1
195347.8155.1
195245.7157
195145155.4
195041.8157.6
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearJordanYemen
201581.862.6–98.9180.9163.8–197.8
201679.261.3–95.2178.4162.7–194.6
201782.466.3–96.6179.8162.3–196.8
201884.868.8–102.1183.2165.3–198.6
201987.467.5–100.7179162–200.4
202086.866.8–102.2181.5163.1–195.9
202188.273.8–101.1184.6170.2–202.6
202288.170–103.7184.1167.5–203.7
202392.474.7–106.4186.8170.1–200.5
202490.776.3–107.1185.3168.8–206.4
202594.173.1–105.2186.5164.7–211.8
202691.678.6–106.9187.8167.9–208.8
202794.475.7–108.4186.5167.9–205.3
202892.675.9–106.3188.2172.3–203.6
202995.381.2–107.3193175.7–211.5
203096.381.5–111.7189.4171.6–207.4
203193.876.5–110.6193.4176.6–211.5
203210086.4–110.9192.7173.2–213.2
2033100.683.6–113.6191.2173–209.1
203498.882.4–112.3193.1172.1–214.9
2035101.883.2–115.2193.1174.5–214.1
203697.885.1–116.2194177.6–213.5
203710384.6–117.8195.9180.3–212.8
2038102.386.1–122.6197.6178.5–217.1
2039107.190.5–125.7194.8179.8–215.4
2040106.387.8–125.5196.4178.8–220.1
2041103.787.8–123.2198.5176.5–216.9
2042108.586.5–122.3197.3174.4–225.8
2043105.791–124.9198.3179.3–221
2044105.682.8–125.1198.7180.5–221.9
204511298.8–128199.8181.6–220.3
204611395.5–127.5202.2181.7–229.3
2047112.293–125.7205182.7–229.8
2048111.893.7–129.7207.4188.8–229.5
2049110.384.7–125.6203.6186.1–222.5
2050112.495.9–127.2202.8186.2–226.3
2051112.397–125.6204.6185.1–229.1
2052110.697.4–125.9207.2186.9–227.7
2053113.798.2–129.9203.9186.1–226.9
2054115.492.5–130.9208.4188.3–234.9
2055115.794.8–130.2208.3190.7–228
2056115.394.2–130.5208.6188.5–236.3
2057115.496.7–135.6208.4190.1–233.1
2058116.196.6–136.8207.2184.7–236
2059120.998.5–137.1213.3191.6–239.3
2060115.898.7–138.7215194.1–235.3
2061118.897.1–132.3209.8189.8–233.3
206212091.6–136.4211.4189.6–246.5
2063118.7101.7–135.9215.9193.5–239.5
2064121.4103.3–135.9212.6194.7–231.7
2065120.2100.4–134.9212.5191.7–241.4
2066120.498.5–135215.6196.9–241.3
2067124106.1–139.5214.6192.2–242.5
2068123.2105.3–138.1217192.5–243.8
2069118.8105.4–137.2216.7196.5–240.8
2070123104–140.8214.6189–244.5
2071123.6103.8–144.3221.2192.7–244.8
2072124.5106.3–140.9217.5194.7–239.4
2073126.6104.8–144.4220.5197.7–248.2
2074120.9103–139.6215.3193.3–240.1
2075121.7103.1–138.1220.7195.5–247.6
2076124.1105.4–144.2219.5196.2–243.5
2077124.2105.3–143.9220.8193.8–249.9
2078124.7105.6–142.8220.7198.9–246.9
2079132107–143.6219.4195.2–249.3
2080128.9106.2–144.4221.7197.8–246
2081125.3108.7–144.8222.4199.1–247
2082128107.9–145.2220.1198.5–243
2083130.9108–144.7217.4195.3–258.9
2084130.5110.6–145223.7195.6–246
2085129.1108.8–141.7225.1203.3–254.4
2086127.5108.9–147.6223.1196.5–256
2087129.8106.1–148.4225.8201.1–255.8
2088132.2114.9–149.4224197.1–259.9
2089128.7113.4–148.5225.6200.2–255.2
2090128.2111.9–151.3225.1201.5–253
2091132.8112.5–152.1228.1201.9–261.8
2092130.6108.3–152.6227.3200.1–261.6
2093135.8116.2–154.4223.6200.9–258.9
2094135.9116.3–150.6223200.3–250.5
2095133112.7–149.6228205.2–255.9
2096130.4108.1–151.3225.1201.6–257.9
2097134.5113.5–155.4222.6200.1–251.1
2098132.5114.9–152.3225.6199.6–261
2099132.1115.3–145.3223.2200.6–251.1
2100131.7111.2–153.1225.7204.7–259.7

Each country on its own

Good to know

  • Nights in a year when the temperature stays above 20 °C, averaged over the country.
  • Source: World Bank Climate Change Knowledge Portal, CMIP6 multi-model median.
  • The dashed line is the CMIP6 model median (SSP2-4.5, middle of the road), a scenario rather than a forecast; the band is its models’ 10th–90th percentile.
  • Climate model values are the median of the CMIP6 models, run on past emissions to 2014 and on SSP2-4.5, a middle-of-the-road path, after: they are not measurements.

How the layers work, where their data comes from and what they can’t tell you: Countries through time

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